A breath sound analysis in children with cough variant asthma

Enseki, Mayumi; Nukaga, Mariko; Tadaki, Hiromi; Tabata, Hideyuki; Hirai, Kota; Katô, Masahiko; Mochizuki, Hiroyuki

doi:10.1016/j.alit.2018.05.003

Cited by 13 publications

(12 citation statements)

References 31 publications

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“…Even when physicians are sufficiently skilled at detecting wheezing in children, the tidal volume of infants is too small to confirm faint breath sounds. We previously reported FW objectively detected on sound spectrogram in patients with asthma and cough variant asthma, and suggested the clinical importance of evaluating FW equivalent to audible wheezing, given that the sound power of FW is less than that of audible wheezing (data not shown).…”

Section: Discussionmentioning

confidence: 98%

“…We recently investigated the potential utility of a breath sound analysis as a non‐invasive, reliable lung function test for children with asthma and infants . On analysis of a sound spectrogram, we identified and digitized the audible wheezing and FW in children . Using these methods, we have studied the effects of widely recognized risk factors of childhood asthma on the breath sound parameters in infants <2 years of age in a cross‐sectional study of an ongoing multi‐institutional prospective study (Diagnosis of Infantile Asthma Using Lung Sound Analysis; DIAL) …”

Section: Discussionmentioning

confidence: 99%

“…In this study, three pediatricians specializing in childhood respiratory disease evaluated the findings. Based on previous reports, we defined wheezing and FW as (i) clear waves enhanced during the expiratory phase in sound spectrogram, with (ii) length >250 ms and (iii) frequency >400 Hz …”

Section: Methodsmentioning

confidence: 99%

“…Even in infants, changes in breath sound parameters are clearly observed when airway narrowing is present . Furthermore, we previously reported β 2 ‐agonist‐sensitive faint wheezing/inaudible wheezing‐like noises (FW) in children with asthma without acute exacerbation, and in children with cough variant asthma . Using commercial equipment, we examined the presence of FW as a marker of objective wheezing in healthy infants and in infants with ARI and compared the characteristics of their breath sounds.…”

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confidence: 99%

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Objective evaluation of wheezing in normal infants

Murayama¹,

Shioya

Tadaki

et al. 2019

Pediatrics International

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Background: To evaluate the frequency of wheezing in infants, the presence of wheezing was examined in normal infants using a breath sound analyzer, Methods: A total of 443 infants (age range, 3-24 months) were included in the present study. The existence of audible wheezing and faint wheezing/inaudible wheezing-like noises (FW) was confirmed on chest auscultation and a sound spectrogram. The breath sound parameters of the sound spectrum, frequency limiting 99% of power spectrum (F 99 ), roll-off from 600 to 1,200 Hz (slope) and spectrum curve indices, total area under the curve of dB data (A 3 /A T and B 4 /A T ), and ratio of power and frequency at 50% and 75% of the highest frequency of the power spectrum (RPF 50 and RPF 75 ) were calculated. Using an original Japanese questionnaire, we examined the characteristics of the airway condition of all infants. Results: Finally, a total of 398 infants were analyzed in the present study, and 283 were in good health while 115 had acute respiratory infection (ARI) in the last 7 days. No infants had audible wheezing on auscultation. Three infants without ARI (1.1%) and 10 infants with ARI (8.7%) had FW. In the evaluation of breath sound parameters, there were no marked differences between the infants with and without FW. Conclusions: Using a breath sound analyzer, wheezing and FW were recognized in only a few infants in good health. Infants recognized to have audible wheezing in daily practice may be at risk of developing recurrent wheezing/asthma. A total of 443 infants (mean age, 9.9 months; range, 3-24 months, male : female, 232:211) who attended an infant

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

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Objective evaluation of wheezing in normal infants

Murayama¹,

Shioya

Tadaki

et al. 2019

Pediatrics International

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“…In the last decade, literature also reveals increasing efforts in monitoring medication adherence at home to steer asthma management (17). Other home-monitoring studies involved measurements of physical activity (18), in ammation markers (19), respiratory distress (20), or coughing and wheezing (21). All individual parameters showed potential in monitoring asthma but were individually not strongly related to control of asthma in a broad paediatric population.…”

Section: Introductionmentioning

confidence: 99%

WEARCON: Wearable home monitoring in children with asthma reveals a strong association with hospital based assessment of asthma control.

Kamp

Klaver

Thio

et al. 2020

Preprint

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Background: Asthma is one of the most common chronic diseases in childhood. Regular follow-up of physiological parameters in the home setting, in relation to asthma symptoms, can provide complementary quantitative insights into the dynamics of the asthma status. Despite considerable interest in asthma home-monitoring in children, there is a paucity of scientific evidence, especially on multi-parameter monitoring approaches. Therefore, the aim of this study is to investigate whether asthma control can be accurately assessed in the home situation by combining parameters from respiratory physiology sensors.Methods: Sixty asthmatic and 30 non-asthmatic children were enrolled in the observational WEARCON-study. Asthma control was assessed according to GINA guidelines by the paediatrician. All children were also evaluated during a 2-week home-monitoring period with wearable devices; a physical activity tracker, a handheld spirometer, smart inhalers, and an ambulatory electrocardiography device to monitor heart and respiratory rate. Multiple logistic regression analysis was used to determine which diagnostic measures were associated asthma control.Results: 24 of the 27 uncontrolled asthmatic children and 29 of the 32 controlled asthmatic children could be accurately identified with this model. The final model showed that a larger variation in pre-exercise lung function (OR=1.34 95%-CI 1.07-1.68), an earlier wake-up-time (OR=1.05 95%-CI 1.01-1.10), more reliever use (OR=1.11 95%-CI 1.03-1.19) and a longer respiratory rate recovery time (OR=1.12 95%-CI 1.05-1.20) were significant contributors to the probability of having uncontrolled asthma.Conclusions: Home-monitoring of physiological parameters correlates with paediatrician assessed asthma control. The constructed multivariate model identifies 88.9% of all uncontrolled asthmatic children, indicating a high potential for monitoring of asthma control. This may allow healthcare professionals to assess asthma control at home.Trial registration: Netherlands Trail Register, NL6087. Registered 14 February 2017, https://www.trialregister.nl/trial/6087

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